FACER: A Universal Framework for Detecting Anomalous Operation of Deep Neural Networks.

Christoph Schorn Lydia Gauerhof

Published in: ITSC (2020)

Keyphrases

neural network
detecting anomalous
main contribution
theoretical framework
pattern recognition
anomaly detection
back propagation
data sets
real world
knowledge base
image segmentation
neural network model
fuzzy systems